Apr 9, 2019 · The primary aim of this study is to study the causality of stroke and risk factors in middle-aged population using the cohort data, and to ...

Apr 9, 2019 · The primary aim of this study is to study the causality of stroke and risk factors in middle-aged population using the cohort data.

Discover high-risk factor combinations using Bayesian network from cohort data of National Stoke Screening in China · Using machine learning models to classify ...

The primary aim of this study is to study the causality of stroke and risk factors in middle-aged population using the cohort data, and to explore whether the ...

Discover High-Risk Factor Combinations Using Bayesian Network From Cohort Data of National Stoke Screening in China by Xuemeng Li, Jianfei Pang, Mei.

Li X, Yu J, Li M, et al. Discover high-risk factor combinations using Bayesian network from national screening data in China. IEEE Int Conf Bioinform Biomed.

The primary aim of this study is to study the causality of stroke and risk factors in middle-aged population using the cohort data, and to explore whether the ...

In recent years, the increasing incidence and prevalence of stroke has brought a heavy economic burden on families and society in China.

The objective of this study was to develop a medical service platform utilizing Bayesian networks for medical modeling and risk inference, with minimal ...

<article-title>Discover high-risk factor combinations using Bayesian network from cohort data of National Stoke Screening in China</article-title>. <source> ...